Aryan mokhtari
WebFedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ali Jadbabaie, Ramtin Pedarsani Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics , PMLR 108:2024-2031, 2024. Abstract WebTowards Communication-Efficient Personalized Federated Learning via Representation Learning and Meta-Learning
Aryan mokhtari
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Web29 lug 2024 · This team includes electrical and computer engineering professors Sanjay Shakkottai, Constantine Caramanis and assistant professor Aryan Mokhtari. Their expertise is in bridging wireless networks and machine learning. Shakkottai is leading one of the research thrusts of the project, AI-based network resource allocation. WebI obtained my Ph.D. in Electrical and Systems Engineering from the University of Pennsylvania under the supervision of Prof. Alejandro Ribeiro. My current research …
WebGli ultimi tweet di @AryanMokhtari WebARYAN MOKHTARI Massachusetts Institute of Technology Tel: (215)-808-4989 77 Massachusetts Avenue Email: [email protected] Room 32-D632 Skype: …
WebRead Aryan Mokhtari's latest research, browse their coauthor's research, and play around with their algorithms http://proceedings.mlr.press/v108/zhang20i.html
WebI am a 3rd-year Ph.D. student in the Department of ECE at UT Austin, advised by Prof. Aryan Mokhtari. Before UT, I received a B.E. degree in Electronic Engineering and a B.S. degree in Mathematics both from Tsinghua University in 2024. My current research interests lie in convex and non-convex optimization as well as online learning problems.
WebAryan Mokhtari Home Publications News Bio Collaborators Contact CV Publications Dissertation [D1] A. Mokhtari. Efficient Methods for Large-Scale Empirical Risk Minimization, Ph.D. Dissertation, University of Pennsylvania, 2024. [pdf] [Joseph and Rosaline Wolf Award for Best Doctoral Dissertation] Preprints linus tech tips best prebuilthttp://proceedings.mlr.press/v108/fallah20a.html house fire in murrells inlet scWebFirst-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization Aryan Mokhtari, Alejandro Ribeiro; Doubly Stochastic Variational Inference for Deep Gaussian Processes Hugh Salimbeni, Marc Deisenroth house fire in mosinee wiWeb%0 Conference Paper %T One Sample Stochastic Frank-Wolfe %A Mingrui Zhang %A Zebang Shen %A Aryan Mokhtari %A Hamed Hassani %A Amin Karbasi %B Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics %C Proceedings of Machine Learning Research %D 2024 %E Silvia Chiappa %E Roberto … linus tech tips best speakersWebI'm advised by Prof. Aryan Mokhtari. I received my B.Sc. in pure and applied mathematics from the Department of Mathematical Sciences at Tsinghua University in 2015 and my M.Sc. in computational and mathematical engineering from the Institute for Computational & Mathematical Engineering at Stanford University in 2024. house fire in mullins scWebAryan Mokhtari is an assistant professor and Fellow of the Jack Kilby/Texas Instruments Endowed Faculty Fellowship in Computer Engineering in the Department of Electrical ... linus tech tips best thermal pasteWebAU - Mokhtari, Aryan. AU - Koppel, Alec. AU - Leus, Geert. AU - Ribeiro, Alejandro. PY - 2016. Y1 - 2016. N2 - This paper considers unconstrained convex optimization problems with time-varying objective functions. house fire in morrow county ohio